Master Class in Sensory and Consumer Science - The Institute for Perception

Start

09 May 2017

End

11 May 2017

Location

The Williamsburg Lodge – Colonial Williamsburg, Virginia USA

Drs. Daniel Ennis, Benoît Rousseau,and John Ennis are pleased to again present a Master Class in sensory and consumer science for participants who have experience in the field and possess a good understanding of existing methodologies.

In this 3-day advanced course, we will begin by establishing a set of principles that we will use to interrelate a variety of techniques to understand how people perceive and assess items such as products, concepts, and brands. We will then show how the Thurstonian framework allows cross-method comparisons. Topics will include statistical and psychological aspects of Thurstonian modeling for discrete choice, difference tests, rating methods, and ranking.

In the second section, we will discuss unfolding – what it is and why the problem it solves has always been of high interest. It will be shown how the technical problems in unfolding have been solved using Landscape Segmentation Analysis® and how we can now realize the goal of fitting individuals and products into a Drivers of Liking® space.

The third and final section will focus on combinatorial tools including eTURF 2.0 and Graph Theoretic Analysis (GTA). Whenever combinations of a large number of discrete items need to be discovered, GTA can be extremely useful.

Technical leaders and team supervisors who have already developed significant expertise will benefit from the opportunity to delve deeper into the theory and application of traditional and newer methodologies than is typically offered in other courses. (18 Contact Hours for Certified Food Scientists can be claimed for attendance of this course.)

Cost:$1975 US; 20% discount for each additional registrant from same organization.A discount of $50 US will be offered to members of theSensometric Societyupon request.Please contact Susan Longest atmail@ifpress.combefore registering if you are eligible for a discounted fee.